AI Solutions Architect

owensminor; United States; Remote; USD 150,000 - 210,000; Full time

Benefits offered by this job

AI governance experience

Enterprise AI operating models

Adoption materials & templates

Job summary

Owens & Minor is seeking a senior solution/AI architect to shape how the organization identifies, designs and scales practical AI solutions. This role connects business priorities with technical architecture and responsible AI governance, guiding use cases from discovery through secure implementation, adoption and value measurement.

You will lead workshops, build business cases and translate needs into AI-enabled workflows, coordinating with identity, security, cloud, data, architecture and

Qualifications

• At least eight years of experience in solution or platform architecture, business transformation, enterprise applications, cloud architecture or a related field.
• Practical knowledge of generative AI platforms and capabilities, including enterprise use patterns, APIs, agent workflows and MCP-style integrations.
• Ability to turn operational challenges into AI opportunities, business cases and measurable outcomes.
• Working knowledge of APIs, enterprise architecture, identity and access controls, security reviews, data governance and operational readiness.
• Technical depth to lead design discussions with engineering and security teams, plus strong facilitation and executive communication skills.
• Master's degree or doctorate in computer engineering or data science.

Responsibilities

• Lead workshops to identify and prioritize AI opportunities by business value, feasibility, readiness, risk and strategic fit.
• Build business cases, define success measures and track outcomes such as adoption, productivity and reduced cycle times.
• Translate business needs into AI-enabled workflows, user journeys and solution designs that technical teams can implement.
• Coordinate with identity, security, cloud, data, architecture and application teams to ensure solutions are secure, governed and supportable.
• Establish repeatable intake, review and delivery practices, and raise unresolved control gaps before production use.
• Create adoption guides, playbooks and templates, and encourage reuse of proven approaches across business functions.

Skills

Generative AI platforms

APIs

Enterprise architecture

Security governance

Executive communication

Facilitation

Business transformation

Cloud architecture

Solution/Platform architecture

Education

Master's or Doctorate in computer engineering or data science

Tools

MCP-style integrations

Job description

Role overview

Shape how an organization identifies, designs and scales practical AI solutions. This senior role connects business priorities with technical architecture and responsible AI governance, guiding use cases from early discovery through secure implementation, adoption and value measurement.

Responsibilities

• Lead workshops to identify and prioritize AI opportunities by business value, feasibility, readiness, risk and strategic fit.
• Build business cases, define success measures and track outcomes such as adoption, productivity and reduced cycle times.
• Translate business needs into AI-enabled workflows, user journeys and solution designs that technical teams can implement.
• Coordinate with identity, security, cloud, data, architecture and application teams to ensure solutions are secure, governed and supportable.
• Establish repeatable intake, review and delivery practices, and raise unresolved control gaps before production use.
• Create adoption guides, playbooks and templates, and encourage reuse of proven approaches across business functions.

Requirements

• At least eight years of experience in solution or platform architecture, business transformation, enterprise applications, cloud architecture or a related field.
• Practical knowledge of generative AI platforms and capabilities, including enterprise use patterns, APIs, agent workflows and MCP-style integrations.
• Ability to turn operational challenges into AI opportunities, business cases and measurable outcomes.
• Working knowledge of APIs, enterprise architecture, identity and access controls, security reviews, data governance and operational readiness.
• Technical depth to lead design discussions with engineering and security teams, plus strong facilitation and executive communication skills.
• Master's degree or doctorate in computer engineering or data science.

Nice to have

• Experience with AI governance, adoption programs, LLM operations or enterprise AI operating models.
• Familiarity with supply chain, procurement, operations, distribution, healthcare, finance, sales or customer service use cases.
• Experience creating reusable solution patterns, scoring frameworks or adoption materials; familiarity with enterprise applications, data platforms, API gateways or workflow automation.

Benefits and work setup

• Fully remote within the United States.
• Full-time benefits include medical, dental and vision coverage beginning on the first day, educational assistance, life and disability coverage, retirement savings options, paid leave and family support programs.